以红外和可见光图像为研究对象,提出了一种基于颜色传递技术的快速彩色图像融合算法。该算法直接用灰度融合图像和源多波段图像的差异信号构成源YCBCR分量,然后在YCBCR空间运用统计颜色传递技术形成一幅具有与目标图像相似色彩效果的彩色融合图像。算法中利用像素平均融合法和多分辨率融合法作为灰度融合方法,形成两种不同的融合策略以分别满足高实时性和高融合质量的需求。实验结果表明,提出的彩色图像融合算法能够有效地生成一幅具有自然日光色彩效果的融合图像,算法中即使采用像素平均法进行灰度融合同样可以获得令人满意的融合效果。
With the particular research on infrared and visible images,a fast color image fusion algorithm based on color transfer technique is presented.The method directly uses the grayscale fused image and the difference signals of input multiband images to construct the source YCBCR components,then uses the statistical color transfer technique in YCBCR space to form a color fused image whose color appearance is similar to that of the target image.Two different strategies which employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution are proposed to fulfill high real-time need and high fusion quality need,respectively.Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing daytime-like color fused image,and can also yield a satisfactory result even using the pixel averaging fusion scheme to implement the grayscale fusion.